The use of data lakes is growing in the federal market, and they have great potential for better analysis and data-driven decision-making -- as long as they are kept clean and pollution-free. When it ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

As an industry, we’ve been talking about the promise of data lakes for more than a decade. It’s a fantastic concept—to put an end to data silos with a single repos­itory for big data analytics.

Data lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data ...

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data reliability company, today announced integrations with Delta Lake and Databricks’ Unity Catalog, becoming the first provider of end-to-end data ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now What is a data lake solution? 5 must-have ...

Databricks is open sourcing Delta Lake to counter criticism from rivals and take on Apache Iceberg as well as data warehouse products from Snowflake, Starburst, Dremio, Google Cloud, AWS, Oracle and ...

Financial services teams struggle to keep pace with dynamic markets due to outdated, batch-based data delivery that is slow, costly and manual — leaving them a step behind the market. Analysts and ...

Data warehouses have been at the center of data analytics systems as far back as the 1980s. Today cloud-based data warehouse services offered by the likes of AWS, Snowflake and Google Cloud have ...